Dfa Commodity Strategy Fund Technical Analysis
| DCMSX Fund | USD 5.35 0.08 1.52% |
As of the 29th of January, Dfa Commodity shows the Downside Deviation of 0.9019, semi deviation of 0.5019, and Mean Deviation of 0.7552. Dfa Commodity Strategy technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Dfa Commodity Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dfa, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DfaDfa |
Dfa Commodity 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Dfa Commodity's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Dfa Commodity.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Dfa Commodity on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Dfa Commodity Strategy or generate 0.0% return on investment in Dfa Commodity over 90 days. Dfa Commodity is related to or competes with Small Cap, One Choice, Mainstay Epoch, One Choice, Pharmaceuticals Portfolio, Dfa International, and Gotham Index. The Portfolio seeks to achieve its investment objective by generally investing in a universe of allowable commodity-link... More
Dfa Commodity Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Dfa Commodity's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Dfa Commodity Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9019 | |||
| Information Ratio | 0.1748 | |||
| Maximum Drawdown | 3.86 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.75 |
Dfa Commodity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dfa Commodity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dfa Commodity's standard deviation. In reality, there are many statistical measures that can use Dfa Commodity historical prices to predict the future Dfa Commodity's volatility.| Risk Adjusted Performance | 0.188 | |||
| Jensen Alpha | 0.2142 | |||
| Total Risk Alpha | 0.1484 | |||
| Sortino Ratio | 0.1871 | |||
| Treynor Ratio | 0.7806 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dfa Commodity's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Dfa Commodity January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.188 | |||
| Market Risk Adjusted Performance | 0.7906 | |||
| Mean Deviation | 0.7552 | |||
| Semi Deviation | 0.5019 | |||
| Downside Deviation | 0.9019 | |||
| Coefficient Of Variation | 396.26 | |||
| Standard Deviation | 0.9654 | |||
| Variance | 0.9319 | |||
| Information Ratio | 0.1748 | |||
| Jensen Alpha | 0.2142 | |||
| Total Risk Alpha | 0.1484 | |||
| Sortino Ratio | 0.1871 | |||
| Treynor Ratio | 0.7806 | |||
| Maximum Drawdown | 3.86 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.75 | |||
| Downside Variance | 0.8135 | |||
| Semi Variance | 0.2519 | |||
| Expected Short fall | (1.00) | |||
| Skewness | 0.24 | |||
| Kurtosis | 0.3128 |
Dfa Commodity Strategy Backtested Returns
Dfa Commodity appears to be not too volatile, given 3 months investment horizon. Dfa Commodity Strategy secures Sharpe Ratio (or Efficiency) of 0.27, which denotes the fund had a 0.27 % return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Dfa Commodity Strategy, which you can use to evaluate the volatility of the entity. Please utilize Dfa Commodity's Downside Deviation of 0.9019, mean deviation of 0.7552, and Semi Deviation of 0.5019 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.3, which means not very significant fluctuations relative to the market. As returns on the market increase, Dfa Commodity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dfa Commodity is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Dfa Commodity Strategy has modest predictability. Overlapping area represents the amount of predictability between Dfa Commodity time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Dfa Commodity Strategy price movement. The serial correlation of 0.52 indicates that about 52.0% of current Dfa Commodity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Dfa Commodity technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
Dfa Commodity Strategy Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Dfa Commodity Strategy across different markets.
About Dfa Commodity Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Dfa Commodity Strategy on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Dfa Commodity Strategy based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dfa Commodity Strategy price pattern first instead of the macroeconomic environment surrounding Dfa Commodity Strategy. By analyzing Dfa Commodity's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Dfa Commodity's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Dfa Commodity specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dfa Commodity January 29, 2026 Technical Indicators
Most technical analysis of Dfa help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Dfa from various momentum indicators to cycle indicators. When you analyze Dfa charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.188 | |||
| Market Risk Adjusted Performance | 0.7906 | |||
| Mean Deviation | 0.7552 | |||
| Semi Deviation | 0.5019 | |||
| Downside Deviation | 0.9019 | |||
| Coefficient Of Variation | 396.26 | |||
| Standard Deviation | 0.9654 | |||
| Variance | 0.9319 | |||
| Information Ratio | 0.1748 | |||
| Jensen Alpha | 0.2142 | |||
| Total Risk Alpha | 0.1484 | |||
| Sortino Ratio | 0.1871 | |||
| Treynor Ratio | 0.7806 | |||
| Maximum Drawdown | 3.86 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.75 | |||
| Downside Variance | 0.8135 | |||
| Semi Variance | 0.2519 | |||
| Expected Short fall | (1.00) | |||
| Skewness | 0.24 | |||
| Kurtosis | 0.3128 |
Dfa Commodity January 29, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Dfa stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 5.35 | ||
| Day Typical Price | 5.35 | ||
| Price Action Indicator | 0.04 |
Other Information on Investing in Dfa Mutual Fund
Dfa Commodity financial ratios help investors to determine whether Dfa Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Dfa with respect to the benefits of owning Dfa Commodity security.
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